gardner_simulink

《MATLAB时尚百例实例》实例1-13()

安卓开发实战读物！带领你做工程！由Mark Murphy大师编著(Andrews developed real books! Lead you to do works!)

一本matlab程序设计与应用的电子资料，结构层次以及内容都很容易自学。(A matlab program design and application of electronic data, structure and content are easy to self-study.)

continous ga codes codes with continous value

使用蒙特卡洛算法，实现对排队等待问题的计算(MonteCarlo method)

利用短时傅里叶算法对语音信号进行分析和研究。(STFT analysis of speech signal)

将卡尔曼滤波的方法与压缩感知联系在一起，实现对动态压缩感知信号的恢复。(combined the kalman filter and compressed sensing, to realize the recovery of dynamic signal.)

本程序描述的是如何用MATLAB语言来编写带通随机过程样本的产生(theproduceofband-passrandomprocesssample)

In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is introduced by using the SVM. The kernel mapping idea is used to derive the non-linear version, Kernel Discriminant via Support Vectors (SVKD). In SVDA, only support vectors are involved to obtain the transformation matrix. Thus, the computational complexity can be greatly reduced for kernel based feature extraction. Experiments carried out on several standard databases show a clear improvement on LDA-based recognition

一种基于区域显著性的红外图像目标分割方法(Region-of-interest-based target segmentation method in IR images)